Numerical simulation and analysis of aerodynamic characteristics of commercial vehicles with different tail fins

Abstract To improve the fuel economy of commercial vehicles, this paper designs two types of commercial vehicle tailfin shapes from the perspective of reducing the wind resistance at the rear of the vehicle, aiming to reduce the influence of the vortex at the rear of the commercial vehicle on the driving performance. Based on the aerodynamic principle, the STAR-CCM+ simulation tool was utilized to simulate the no-tail model, three-surface tail model, and four-surface tail model for the two cases of commercial vehicles with flat compartments and concave compartments, to study the effect of the tail fins of commercial vehicles on the reduction of the tail wind resistance coefficient of commercial vehicles. The results of the study show that the commercial vehicle model with three-side tail fins can reduce the wind resistance by 25.6% in the case of a flat compartment surface and 24% in the case of a concave and convex compartment surface of the commercial vehicle compared to the model without tail fins. In comparison, the four-side tail fins commercial vehicle model only reduces the wind resistance by 22.5% and 16.2% in the same cases. The experiments confirm that the rear wing of the commercial vehicle can effectively mitigate the rear wind resistance. The three-surface tail model has better stability than the four-surface tail model, and the optimization effect is better when the side compartment surface is flat.

Authors

Institutions

Publication Details

Journal
Journal of Physics Conference Series
Published
2025-02-01
DOI
https://doi.org/10.1088/1742-6596/2951/1/012067
Primary Topic
Aerodynamics and Fluid Dynamics Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical simulation and analysis of aerodynamic characteristics of commercial vehicles with different tail fins

Tianxing Yu, Rongjiang Tang, Wei Guo, Tong Liu et al.
Journal of Physics Conference Series
Aerodynamics and Fluid Dynamics Research
article

Numerical simulation and analysis of aerodynamic characteristics of commercial vehicles with different tail fins

Tianxing Yu, Rongjiang Tang, Wei Guo, Tong Liu, Zeyu You
article en

Abstract

Abstract To improve the fuel economy of commercial vehicles, this paper designs two types of commercial vehicle tailfin shapes from the perspective of reducing the wind resistance at the rear of the vehicle, aiming to reduce the influence of the vortex at the rear of the commercial vehicle on the driving performance. Based on the aerodynamic principle, the STAR-CCM+ simulation tool was utilized to simulate the no-tail model, three-surface tail model, and four-surface tail model for the two cases of commercial vehicles with flat compartments and concave compartments, to study the effect of the tail fins of commercial vehicles on the reduction of the tail wind resistance coefficient of commercial vehicles. The results of the study show that the commercial vehicle model with three-side tail fins can reduce the wind resistance by 25.6% in the case of a flat compartment surface and 24% in the case of a concave and convex compartment surface of the commercial vehicle compared to the model without tail fins. In comparison, the four-side tail fins commercial vehicle model only reduces the wind resistance by 22.5% and 16.2% in the same cases. The experiments confirm that the rear wing of the commercial vehicle can effectively mitigate the rear wind resistance. The three-surface tail model has better stability than the four-surface tail model, and the optimization effect is better when the side compartment surface is flat.

Journal of Physics Conference SeriesVol. 2951(1)
Guangxi University of Science and Technology (CN), Guilin University of Electronic Technology (CN)
Openalex Percentile: Top 96%
Aerodynamics and Fluid Dynamics Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.